As a MinIO Curriculum Engineer, I spend a lot of time creating demos and learning environments for customers. These environments need to be realistic, comprehensive, and ready to showcase MinIO AIStor's capabilities in real-world scenarios. But here's the thing - setting up a proper demo environment manually can take hours of low-value, repetitive work. Let me
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1. Executive Summary Our customer, a global telecommunications leader, established a Data Platform team to transform how data improved customer experiences and business operations. Faced with ballooning data growth and legacy storage constraints, they replaced aging legacy data storage systems with a high-performance, cloud-native data lakehouse, built on MinIO’s AIStor. The result: a scalable, cost-efficient foundation ready for AI,
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A major US-based defense contractor needed to create an internal solution that allowed for the secure sharing of critical information with other allies and sensitive actors – a portable data lakehouse that could be scaled up and down on demand and deployed anywhere in the world, across a wide variety of deployment options and in challenging network environments. Environment: Mission-critical applications
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This global digital payments provider has provided online payment systems for nearly 30 years, seeing its highest rates of growth over the past ten years. Its user base expanded from over 150 million to more than 400 million customers worldwide which boosted its total payment volume from $200 billion to more than $1.5 trillion. This led to their data
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1. Executive Summary A leading national payment and financial infrastructure provider transformed its analytics and fraud detection capabilities by migrating from a legacy Hadoop system to a modern data lakehouse powered by MinIO AIStor and Trino on Kubernetes. The shift delivered a 65% reduction in fraud model runtime, a fivefold increase in workload capacity, and significant cost savings by replacing
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In the rapidly evolving TechBio industry, one innovative life sciences company puts technology at the forefront of its approach to drug discovery and experimentation. They operate one of the fastest privately owned supercomputers in the pharmaceutical sector, enabling unprecedented computational scale in biological research. Powered by a bespoke and AI-driven scientific operating system, their mission is to transform and accelerate
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Government agencies must embrace AI responsibly, ensuring data sovereignty and security are top priority. To obtain sovereign AI, the right foundation must be in place to ensure infrastructure, data, and models remain fully controlled across agencies.
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AIStor Tables brings Iceberg catalogs natively into on-prem object storage. It simplifies data organization, enforces table-aware security, and lets AI teams catalog unstructured assets in structured tables, thereby enabling discovery.
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The format war is over, and Iceberg won. Every major engine now supports it, from Snowflake to Spark. Built for object stores, Iceberg delivers scale, consistency, and simplicity. It is the unified foundation for enterprise AI and analytics. Future-proof your data with Iceberg.
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At MinIO, we believe the cloud operating model and a fully software-defined approach across every layer of the stack is the only path to enterprise agility, scalability, and operational efficiency. Building for "software-defined everything" has guided us from the start, with the goal of keeping modern IT environments as flexible and dynamic as the businesses they serve. But
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Delta Sharing + MinIO AIStor enables direct access to on-prem data from Databricks without data duplication. Organizations can now query their hybrid infrastructure through a single interface, eliminating storage costs and synchronization complexity.
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A major financial institution turned their "outdated and escalating" Hadoop costs into savings by combining AIStor + Dremio on existing hardware. The hybrid approach delivered cloud elasticity while reusing their infrastructure, proving you don't need to rip-and-replace everything to modernize
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The "big data king" that enterprises spent billions on is dying. Not from lack of trying, but because cloud-native alternatives now beat it at its own game. AIStor is faster and cheaper than HDFS. The revolution is happening in quarters, not decades.
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Liberating data enables government agencies to modernize storage, cut hidden costs, and unlock mission-driven insights. By strategically curating, archiving, and aligning data with AI-driven priorities, agencies improve efficiency, compliance, and decision-making while preparing for the future.
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Apache Iceberg 1.9.0 closes the gap with Delta Lake, adding row-level ops with lineage, JSON-friendly variant type, geospatial support, REST catalog upgrades, and easier Delta migration. Dropping Hadoop 2 and Spark 3.3 signals a modern focus, driving open table format convergence.
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What is a Sovereign Cloud? Look up the definition of “sovereignty” in any dictionary, and you will get a definition along the lines of “supreme power or authority.” So, a logical definition of “Sovereign Cloud” would be a cloud where a single governing entity like the European Union or the government of a single country can create acts and policies
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Object storage is the primary storage solution for OLAP databases. This survey highlights major database players that have embraced this movement.
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In today's data-driven world, object storage has emerged as the foundation for modern workloads including artificial intelligence (AI), machine learning (ML), and data lakehouse analytics. This is evidenced by the fact that all the major Large Language Models—OpenAI’s ChatGPT, Anthropic’s Claude, Google’s Gemini, etc.—are all built on object stores. And as organizations continue
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Anyone who has worked in a team environment knows that every successful team has one go-to person—that special individual who can help you regardless of the nature of your problem. On a traditional software development team, this individual is an expert programmer and is also an expert in one other technology, which could be a database technology like Snowflake
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OpenAI’s move this week to release two new open-weight AI models (gpt-oss-120b and gpt-oss-20b) just changed Enterprise Data Infrastructure forever. The news has rightfully made ripples across the tech ecosystem. Why? * Because these models are released under the Apache 2.0 license, users can for the first time in 5 years, run OpenAI models right on their own devices.
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